New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries per 1,000 population.


Source

Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 3079601 Average

105.6

Averages

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76.0 City-Wide
82.9 Brooklyn
105.6 Tract

Census Tract 3079601

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Injury ER Visit Rate Population (2011-2013)
All 105.6 13,150

Sex

Female 106.1 7,122
Male 155.8 6,027

Race/Ethnicity

Asian/Pacific Islander 0.0 73
Black 100.0 9,409
Hispanic 190.4 1,402
White 143.9 1,793

Age

0-14 years 129.7 2,313
15-24 years 178.6 1,377
25-34 years 70.2 3,346
35-44 years 106.7 1,809
45-54 years 107.8 1,753
55-64 years 78.5 1,720
65-74 years 165.2 339
75+ years 72.6 482
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Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.